DEVELOPMENT... OpenML
Run
120076

Run 120076

Task 52 (Supervised Classification) heart-statlog Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8554
Per class
Build CPU time
2.8185
Build memory
662430624.8
F measure
0.7953
Per class
Kappa
0.5844
KB relative information score
159.0149
Mean absolute error
0.2015
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7961
Per class
Predictive accuracy
0.7963
Prior entropy
0.9912
Recall
0.7963
Per class
Relative absolute error
0.4081
Root mean prior squared error
0.4969
Root mean squared error
0.4453
Root relative squared error
0.8961
SciMark benchmark
935.6292